Using Lower Limb Wearable Sensors to Identify Gait Modalities: A Machine-Learning-Based Approach
Liam David Hughes,
Martin Bencsik,
Maria Bisele
et al.
Abstract:Real-world gait analysis can aid in clinical assessments and influence related interventions, free from the restrictions of a laboratory setting. Using individual accelerometers, we aimed to use a simple machine learning method to quantify the performance of the discrimination between three self-selected cyclical locomotion types using accelerometers placed at frequently referenced attachment locations. Thirty-five participants walked along a 10 m walkway at three different speeds. Triaxial accelerometers were… Show more
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